How artificiality and intelligence affect voice assistant evaluations

Abhijit Guha, Timna Bressgott, Dhruv Grewal, Dominik Mahr, Martin Wetzels, Elisa Schweiger

Research output: Contribution to journalArticlepeer-review

23 Citations (SciVal)

Abstract

Widespread, and growing, use of artificial intelligence (AI)–enabled voice assistants (VAs) creates a pressing need to understand what drives VA evaluations. This article proposes a new framework wherein perceptions of VA artificiality and VA intelligence are positioned as key drivers of VA evaluations. Building from work on signaling theory, AI, technology adoption, and voice technology, the authors conceptualize VA features as signals related to either artificiality or intelligence, which in turn affect VA evaluations. This study represents the first application of signaling theory when examining VA evaluations; also, it is the first work to position VA artificiality and intelligence (cf. other factors) as key drivers of VA evaluations. Further, the paper examines the role of several theory-driven and/ or practice-relevant moderators, relating to the effects of artificiality and intelligence on VA evaluations. The results of these investigations can help firms suitably design their VAs and suitably design segmentation strategies.

Original languageEnglish
Pages (from-to)843-866
JournalJournal of the Academy of Marketing Science
Volume51
Early online date28 Jun 2022
DOIs
Publication statusPublished - 31 Jul 2023

Keywords

  • Artificial intelligence
  • Signaling
  • Technology
  • Voice assistants

ASJC Scopus subject areas

  • Business and International Management
  • Economics and Econometrics
  • Marketing

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